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120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
The official repository for our programming kitchen which consists of 50+ delicious programming recipes having all the interesting ingredients ranging from dynamic programming, graph theory, linkedโฆ
๐ Path to a free self-taught education in Computer Science!
โ The Node.js best practices list (July 2024)
Entire React code base explanation by visual block schemes (Stack version)
A book series on JavaScript. @YDKJS on twitter.
Clustered Forward/Deferred renderer with Physically Based Shading, Image Based Lighting and a whole lot of OpenGL.
A complete computer science study plan to become a software engineer.
An ultra-simplified explanation to design patterns
A brief computer graphics / rendering course
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
The Web framework for perfectionists with deadlines.
๐ A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A a curated list of curated lists of awesome lists.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
โ๏ธ DEPRECATED โ See https://github.com/ageron/handson-ml3 instead.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A list of awesome PyTorch scholarship articles, guides, blogs, courses and other resources.
Bring data to life with SVG, Canvas and HTML. ๐๐๐
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Starter project code for students taking Udacity ud120
Lectures on scientific computing with python, as IPython notebooks.
๐ฎ The only Front-End Performance Checklist that runs faster than the others